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Manager Azure Ai Jobs in Washington (NOW HIRING)

Abacus Technology

Sr. Cloud Architect (Azure)

Washington, DC · On-site

$72 - $93.75/hr

Optimize performance and cost of Azure resources using tools like Microsoft Cost Management + Billing and Azure Advisor. * Explore new Azure AI solutions such as Azure OpenAI for innovative solutions.

BDO

AI Security and Governance Lead

Washington, DC

This role designs and leads governance frameworks, security controls, and risk management practices for AI and agent-based systems deployed on Azure AI and Azure AI Foundry. The incumbent partners ...

BDO USA

AI Security and Governance Lead

Washington, DC · On-site

This role designs and leads governance frameworks, security controls, and risk management practices for AI and agent-based systems deployed on Azure AI and Azure AI Foundry. The incumbent partners ...

Apex Systems

AI Quality Engineer

Merrifield, VA · On-site

$68.88 - $90.92/hr

Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, AI agent frameworks, or RAG ... Knowledge of identity and access management concepts including Entra ID and managed identities.

Cliff Services Inc

AI Engineer/Architect

Vienna, VA · On-site

AI Risk Management * Enterprise AI Architecture * Azure AI Foundry * Microsoft Copilot Studio * Azure Kubernetes Service (AKS) * AI Compliance & Controls * Production Readiness * AI Standards ...

CYNET SYSTEMS

Senior Agentic AI Engineer

Reston, VA · On-site

$59 - $77/hr

... Azure AI Foundry services, or comparable modern orchestration frameworks. * Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error ...

Smart Synergies

Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

... Azure AI Foundry services, or comparable modern orchestration frameworks. * Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error ...

Ezenius Inc

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

AI Policy Expert with experience in AWS/Azure AI, Sagemaker, AI modeling, neural networks Position ... management, customer, and team using written or oral skills as appropriate technical level for ...

Smart Synergies

AI Engineer

Reston, VA · On-site

Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with digital ecosystem. * Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Proficiency with Azure DevOps, GitHub, and SDLC tooling * Knowledge of identity management concepts ...

SES

Sr AI Platform Engineer - ZL

Centreville, VA · On-site

Build AI Gateway & MCP Gateway Capabilities Design and operate AI Gateway / Azure API Management capabilities for model routing, authentication and authorization, model allow-lists, token budgets ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Proficiency with Azure DevOps, GitHub, and SDLC tooling * Knowledge of identity management concepts ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Proficiency with Azure DevOps, GitHub, and SDLC tooling * Knowledge of identity management concepts ...

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Manager Azure Ai information

What is the difference between Manager Azure Ai vs Data Scientist?

AspectManager Azure AiData Scientist
Required CredentialsAzure certifications, leadership experienceStatistics, programming, data analysis skills
Work EnvironmentTeam management, cloud platform oversightData analysis, model development, research
Industry UsageAI project management in cloud servicesData modeling and insights in various sectors

The Manager Azure Ai primarily oversees AI projects on the Azure platform, focusing on team coordination and cloud solutions. In contrast, Data Scientists analyze data, develop models, and generate insights. While both roles require technical knowledge, the Manager Azure Ai emphasizes leadership and cloud expertise, whereas Data Scientists focus on data analysis and modeling.

Is Manager Azure AI in demand?

Manager Azure AI roles are in high demand as organizations increasingly adopt cloud-based AI solutions and require professionals skilled in Azure services, AI development, and team management. These positions often require expertise in cloud platforms, AI tools, and certifications like Azure AI Engineer Associate, reflecting a growing need for leadership in AI projects within the cloud environment.

What jobs can I get with Manager Azure Ai certification?

With a Manager Azure AI certification, you can pursue roles such as AI project manager, cloud solutions manager, or AI team lead, focusing on deploying and managing AI solutions on Azure. These roles typically require strong knowledge of Azure services, AI development, and team coordination skills.

What are popular job titles related to Manager Azure Ai jobs in Washington?

For Manager Azure Ai jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Manager Azure Ai jobs in Washington look for?

The top searched job categories for Manager Azure Ai jobs in Washington are:

What cities in Washington are hiring for Manager Azure Ai jobs?

Cities in Washington with the most Manager Azure Ai job openings:

Manager Azure Ai jobs near you
Infographic showing various Manager Azure Ai job openings in Washington as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Sr. Cloud Architect (Azure)

Abacus Technology

Washington, DC • On-site

$72 - $93.75/hr

Full-time

Re-posted 9 days ago

Job description

Overview

Abacus Technology is seeking a Cloud Architect to provide technical support of Microsoft Azure cloud infrastructures for the Federal Aviation Administration.  This is a full-time position.

Responsibilities
  • Conduct cloud migration readiness assessments and develop migration strategies and roadmaps.
  • Develop and design scalable, secure, and cost-effective cloud architectures using Azure services.
  • Utilize Infrastructure as Code tools like Azure Resource Manager (ARM) templates, Terraform or Bicep to automate cloud infrastructure deployment.
  • Write and maintain scripts for cloud resource provisioning.
  • Implement security best practices and compliance controls, such as identity and access management (IAM) policies, encryption, and monitoring using Azure native tools along with Prisma Cloud - CSPMP (Cloud Security Posture Management Platform).
  • Optimize performance and cost of Azure resources using tools like Microsoft Cost Management + Billing and Azure Advisor.
  • Explore new Azure AI solutions such as Azure OpenAI for innovative solutions.
  • Design enterprise solutions to support cloud account creation, user access, network connectivity, and other core cloud services.
Qualifications

10+ years experience with enterprise or large scale virtual environments.  Bachelor's degree in science, technology, engineering, mathematics, or a related field; Master's degree preferred.  Extensive experience in systems architecture, requirements analysis, design, integration, testing, and cloud transition.  Experience in federal contracting or highly regulated enterprise environments.  Expert knowledge of cloud-native Azure services and related tools.  Expertise in automation tools, Infrastructure as Code, DevSecOps practices, and cloud governance.  Proficient with Infrastructure as Code tools (e.g., Azure Resource Manager, Azure Building Blocks, and Azure SDK Visual Studio).  Advanced knowledge of virtualization platforms and cloud service models, including TCP/IP, VLANs, routing, and virtual switches.  Hands-on experience with migration strategies ensuring low-risk transitions.  Able to manage multiple projects and adapt to new technologies.  Able to communicate complex technical concepts clearly to both technical and non-technical stakeholders and collaborate with cross-functional teams.  Must have strong documentation skills and a commitment to scalable, maintainable engineering practices   Strong analytical, problem-solving, and scripting skills.  Must be detail-oriented with a focus on quality and compliance.  Must be a US citizen. 

Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

EOE/M/F/Vet/Disabled

Employment Type: OTHER

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